Samsung Galaxy S25
Geekbench AI Score
2947
Single Precision Score
2945
Half Precision Score
5244
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 23 2025 08:01 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Elite |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Samsung Galaxy S25 |
| Model ID | samsung SM-S931B |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.47 GHz |
| Memory Information | |
|---|---|
| Size | 10.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2014
374.6 IPS |
|
|
Image Classification (HP)
|
100% |
1992
370.5 IPS |
|
|
Image Classification (Q)
|
100% |
4543
844.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2530
41.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2568
41.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5336
86.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5797
6.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
5680
6.63 IPS |
|
|
Pose Estimation (Q)
|
84% |
14198
16.8 IPS |
|
|
Object Detection (SP)
|
98% |
1820
144.9 IPS |
|
|
Object Detection (HP)
|
98% |
1811
144.1 IPS |
|
|
Object Detection (Q)
|
83% |
4220
340.9 IPS |
|
|
Face Detection (SP)
|
100% |
4579
54.4 IPS |
|
|
Face Detection (HP)
|
100% |
4669
55.5 IPS |
|
|
Face Detection (Q)
|
95% |
8650
103.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
4853
37.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4781
36.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
10930
100.1 IPS |
|
|
Style Transfer (SP)
|
89% |
11867
15.4 IPS |
|
|
Style Transfer (HP)
|
89% |
11997
15.6 IPS |
|
|
Style Transfer (Q)
|
98% |
26480
34.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2510
92.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2474
91.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6737
249.6 IPS |
|
|
Text Classification (SP)
|
100% |
986
1.32 KIPS |
|
|
Text Classification (HP)
|
99% |
1006
1.34 KIPS |
|
|
Text Classification (Q)
|
88% |
1098
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1411
24.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1401
24.1 IPS |
|
|
Machine Translation (Q)
|
50% |
585
20.8 IPS |
